Publicação
A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems
| Resumo: | The ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation. |
|---|---|
| Autores principais: | Queiroz, Jonas |
| Outros Autores: | Leitão, Paulo; Oliveira, Eugénio |
| Assunto: | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1863850984366669824 |
|---|---|
| author | Queiroz, Jonas |
| author2 | Leitão, Paulo Oliveira, Eugénio |
| author2_role | author author |
| author_facet | Queiroz, Jonas Leitão, Paulo Oliveira, Eugénio |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Queiroz, Jonas\",\"Person.identifier.orcid\":\"0000-0001-5416-4762\"},{\"Person.name\":\"Leitão, Paulo\",\"Person.identifier.orcid\":\"0000-0002-2151-7944\"},{\"Person.name\":\"Oliveira, Eugénio\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Queiroz, Jonas Leitão, Paulo Oliveira, Eugénio |
| datacite.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-03-15T11:04:43Z |
| datacite.date.embargoed.fl_str_mv | 2022-03-15T11:04:43Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| datacite.titles.title.fl_str_mv | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Queiroz, Jonas Leitão, Paulo Oliveira, Eugénio |
| dc.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-03-15T11:04:43Z |
| dc.date.embargoed.fl_str_mv | 2022-03-15T11:04:43Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/25230 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| dc.title.fl_str_mv | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/90de6137-4db0-43a2-ab2b-1bb76f92e69b/download |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | ipb_ebdae5d1da6f18cde927fa748cd06b21 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/25230 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/25230 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Queiroz, Jonas Queiroz, Jonas https://www.ciencia-id.pt/BF12-BBDD-CCC5 BF12-BBDD-CCC5 http://orcid.org/0000-0001-5416-4762 0000-0001-5416-4762 Leitão, Paulo Leitão, Paulo https://www.ciencia-id.pt/8316-8F13-DA71 8316-8F13-DA71 http://orcid.org/0000-0002-2151-7944 0000-0002-2151-7944 Oliveira, Eugénio |
| publishDate | 2022 |
| publisher.none.fl_str_mv | IEEE |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engIEEEpt_PTThe ongoing 4th industrial revolution is characterized by the digitization of industrial environments, mainly based on the use of Internet of Things, Cloud Computing and Artificial Intelligence (AI). Regarding AI, although data analysis has shown to be a key enabler of industrial Cyber-Physical Systems (CPS) in the development of smart machines and products, the traditional Cloud-centric solutions are not suitable to attend the data and time-sensitive requirements. Complementary to Cloud, Edge Computing has been adopted to enable the data processing capabilities at or close to the physical components. However, defining which data analysis tasks should be deployed on Cloud and Edge computational layers is not straightforward. This work proposes a framework to guide engineers during the design phase to determine the best way to distribute the data analysis capabilities among computational layers, contributing for a lesser ad-hoc design of distributed data analysis in industrial CPS. Besides defining the guidelines to identify the data analysis requirements, the core contribution relies on a Fuzzy Logic recommendation system for suggesting the most suitable layer to deploy a given data analysis task. The proposed approach is validated in a smart machine testbed that requires the implementation of different data analysis tasks for its operation.application/pdfpt_PTA fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systemsPersonalQueiroz, JonasDSpacehttp://dspace.org/items/49c3a549-2500-4d74-8657-9d9baafffea3DSpacehttp://dspace.org/items/49c3a549-2500-4d74-8657-9d9baafffea3QueirozJonasCiência IDhttps://www.ciencia-id.ptBF12-BBDD-CCC5ORCIDhttp://orcid.org0000-0001-5416-4762Scopus Author IDhttps://www.scopus.com57188655139PersonalLeitão, PauloDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccDSpacehttp://dspace.org/items/68d9eb25-ad4f-439b-aeb2-35e8708644ccLeitãoPauloCiência IDhttps://www.ciencia-id.pt8316-8F13-DA71ORCIDhttp://orcid.org0000-0002-2151-7944Scopus Author IDhttps://www.scopus.com35584388900Oliveira, EugénioHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.1109/OJIES.2022.31527252022-03-15T11:04:43Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/25230http://purl.org/coar/access_right/c_abf2open accessCyber-physical system designDistributed data analysisFuzzy recommendation system5698116 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/90de6137-4db0-43a2-ab2b-1bb76f92e69b/downloadIEEE Open Journal of the Industrial Electronics Society3174187 |
| spellingShingle | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems Queiroz, Jonas Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| subject.fl_str_mv | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| title | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| title_full | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| title_fullStr | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| title_full_unstemmed | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| title_short | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| title_sort | A fuzzy logic recommendation system to support the design of cloud-edge data analysis in cyber-physical systems |
| topic | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| topic_facet | Cyber-physical system design Distributed data analysis Fuzzy recommendation system |
| url | http://hdl.handle.net/10198/25230 |
| visible | 1 |